TFG: Design of a localization system based on 5G communications

The arrival of 5G New Radio (NR) networks has improved mobile telephony service conditions. These improvements have made it possible to enhance other uses of these networks, such as localization. The higher bandwidths and directivity of 5G communications allow measurements taken from base stations to be more accurate, resulting in better position estimates than in previous generations of cellular networks. This makes localization applications based on cellular networks gain relevance. In addition, they are more efficient in terms of energy consumption, which is an advantage over GNSS systems.
The objective of this Graduate Thesis is to analyze and implement a localization algorithm based on 5G networks. This algorithm works outdoors and calculates the position locally, so the equipment to be located uses the measurements received from the base stations without interacting with any other element of the network. Certain accuracy and execution time requirements have been established.
To accomplish the objective, a study of the outdoor localization methods based on cellular networks has been carried out in order to select the most accurate one among those reviewed.
Subsequently, the corresponding algorithm has been implemented in a microcontroller, to finally test its performance in different simulated scenarios.
At the hardware level, the STM32 NUCLEO-F767ZI microcontroller has been used.

At the software level, the STM32CubeIDE development environment and C programming language have been used. Since it has not been possible to experimentally obtain the measurements required for the algorithm to work, some Matlab scripts have been created to simulate both these measurements and the test scenarios.
After testing its performance in different scenarios, it can be concluded that the implemented algorithm meets the objectives set, both in terms of accuracy and time, and that it could therefore be interesting to carry out tests in a real scenario.

TFG: Design and Implementation of an NBIoT Communication System

The development of IoT product has generated multiple needs in the field of information and communication technologies. Among them, the challenge of creating technological products capable of functioning independently of the power grid arises, leading to a line of development in telecommunications that, instead of maximizing the transmission capabilities of a system, seeks to minimize its power consumption.

This TFG is developed within the ESTAR project, an autonomous IoT product meant for monitoring multiple environments. More specifically, it focuses on ESTAR_COMMS, the module which will be in charge of connecting the device to an external server.

In order to provide wireless communications with the lowest energy cost, an analysis of different components is given, concluding with the SARA-R510S-01B. The SARA has access to NBIoT radio technology from the LPWANs that allows for low speed, low payload, sporadic and Ultra-Low-Power transmissions.

In the thesis, the following results are presented:

  • A functional communication design and PCB prototype that uses the SARA-R510S-01B module, with an analysis of all design stages.
  • A first approach to the software design, in addition to a summary of the main AT commands that will be used to control the SARA.
  • The first energy consumption tests with the KeysightB2901A.

TFG: Design and implementation of a geolocation tag for 5G communications

With the rise of automation in industry and the great development of AI and IoT comes
Industry 5.0, in which the emphasis is on collaboration between machines and humans
to improve productivity and efficiency.

With the arrival of industry 5.0 comes the need to develop new devices that can meet their needs. The HUMAIN project, on which this work is based, was born from this need.

This TFG has consisted of the research and design of a geolocation tag for industry 5.0, for which the following phases have been carried out:

First, the bases of IoT, industry 5.0 and 5G have been investigated, achieving a better understanding of the project to be carried out. Then, design decisions have been established following the concepts obtained in the research and the product specifications, and an investigation of the components available on the market has been carried out taking into account these decisions.

From this, the components have been chosen and the schematic design and layout of the board has been carried out, and, finally, the soldering of the board has been made, reaching a first prototype.

Mesa redonda en la Academia de las Ciencias y las Artes Militares – “Transformación Digital: Mitos y Realidades”

El pasado 27 de octubre nuestro compañero Octavio Nieto-Taladriz participó como ponente en la Mesa Redonda organizada por la Academia de las Ciencias y las Artes Militares (ACAMI) titulada “Transformación Digital: Mitos y Realidades”.

Breve extracto:

En esta jornada se presentó una visión horizontal sobre lo que supone la transformación digital desde tres puntos de vista: el académico, el militar y el industrial. Para ello contaremos con el Prof. Dr. (Universidad Politécnica de Madrid) Octavio Nieto-Taladriz García, académico correspondiente, el coronel José Luis Carbonell Navarro, del Estado Mayor del Ejército y Moisés Rodriguez Martín, director de Centum Solutions. Asimismo, y como introductor y expresando el punto de vista de la Academia de las Ciencias y las Artes Militares participará José Carlos de la Fuente Chacón, general de división (R) y académico de número.

La grabación de la misma está disponible en el siguiente link:

MyGait: Mejora de la calidad de vida de enfermos de Parkinson a través de plantillas inteligentes multisensores

According to Sociedad Española de Neurología (SEN), Parkinson’s disease prevalence and incidence is increasing and estimated that the number of people affected will double in 20 years and triple in 2050.

This project addresses a new research line that aims to use data generated from smart insoles to objectively support an early treatment of Parkinson disease (PD) and consequently improve the life quality of patients.

To achieve these common objectives the project is divided into two sub-projects with complementary objectives. In the first one (MyGait_Bio) the measurement systems to obtain BCG and IPG signals will be designed and the signal processing will be developed to reduce the influence of the movement artifacts and to be able to extract all the cardiovascular information from the patient. The system for recharging the batteries of the smart insole based on inductive methods will also be designed. This platform will combine inductive battery recharging with the reading of measurement data stored in the memory of the measurement system.

In the second sub-project (MyGait_Sensors) the aim is to develop intelligent insoles that will allow, by means of force and inertial sensors and advanced algorithms, to monitor the patient’s gait and provide personalised information on the patient’s evolution. This second project also aims to realize experimental tests with clinical supervision that will validate the technologic systems developed and obtain the maximum clinical information.

Title: MyGait: Mejora de la calidad de vida de enfermos de Parkinson a través de plantillas inteligentes multisensores
Duration: September 2021 – August 2024
Partners: ISI (UPC), HOWLAB (UZ) y B105 (UPM).
Financing entity: Proyectos de I+D+i Retos Investigación, Ministerio de Ciencia e Innovación (PID2020-116011RB-C22)